E
exa-web-search-free
by @sundial-orgv1.0.0
0.0(0)
Free AI search via Exa MCP. Web search for news/info, code search for docs/examples from GitHub/StackOverflow, company research for business intel. No API key needed.
安装方式
npx skills add sundial-org/awesome-openclaw-skills --skill exa-web-search-freecompare_arrows
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0 组description 文档
name: exa-web-search-free description: Free AI search via Exa MCP. Web search for news/info, code search for docs/examples from GitHub/StackOverflow, company research for business intel. No API key needed. metadata: {"clawdbot":{"emoji":"🔍","requires":{"bins":["mcporter"]}}}
Exa Web Search (Free)
Neural search for web, code, and company research. No API key required.
Setup
Verify mcporter is configured:
mcporter list exa
If not listed:
mcporter config add exa https://mcp.exa.ai/mcp
Core Tools
web_search_exa
Search web for current info, news, or facts.
mcporter call 'exa.web_search_exa(query: "latest AI news 2026", numResults: 5)'
Parameters:
query- Search querynumResults(optional, default: 8)type(optional) -"auto","fast", or"deep"
get_code_context_exa
Find code examples and docs from GitHub, Stack Overflow.
mcporter call 'exa.get_code_context_exa(query: "React hooks examples", tokensNum: 3000)'
Parameters:
query- Code/API search querytokensNum(optional, default: 5000) - Range: 1000-50000
company_research_exa
Research companies for business info and news.
mcporter call 'exa.company_research_exa(companyName: "Anthropic", numResults: 3)'
Parameters:
companyName- Company namenumResults(optional, default: 5)
Advanced Tools (Optional)
Six additional tools available by updating config URL:
web_search_advanced_exa- Domain/date filtersdeep_search_exa- Query expansioncrawling_exa- Full page extractionpeople_search_exa- Professional profilesdeep_researcher_start/check- AI research agent
Enable all tools:
mcporter config add exa-full "https://mcp.exa.ai/mcp?tools=web_search_exa,web_search_advanced_exa,get_code_context_exa,deep_search_exa,crawling_exa,company_research_exa,people_search_exa,deep_researcher_start,deep_researcher_check"
# Then use:
mcporter call 'exa-full.deep_search_exa(query: "AI safety research")'
Tips
- Web: Use
type: "fast"for quick lookup,"deep"for thorough research - Code: Lower
tokensNum(1000-2000) for focused, higher (5000+) for comprehensive - See examples.md for more patterns
Resources
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评分0.0 / 5.0
版本1.0.0
更新日期2026年3月16日
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创建2026年3月16日
最后更新2026年3月16日